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Mistral Medium 3.5 vs Nemotron 3.5 Super VL (120B A12B)

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 26.6. Nemotron 3.5 Super VL (120B A12B) is 7.5x cheaper per token.

Mistral AI · NVIDIA · Updated for 2026

Which is better?

Nemotron 3.5 Super VL (120B A12B) leads the overall LLM Stats Score 35.0 to 26.6, ranking #108 overall.

In the 4 individual benchmarks reported for both models, Nemotron 3.5 Super VL (120B A12B) wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, Nemotron 3.5 Super VL (120B A12B) is roughly 7.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Nemotron 3.5 Super VL (120B A12B) also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Mistral Medium 3.5

  • you want predictable pricing at $1.50/M input and $7.50/M output

Choose Nemotron 3.5 Super VL (120B A12B)

  • overall performance matters — it scores 35.0 and ranks #108 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • cost matters — it's about 7.5x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
26.6
#169
35.0
#108
27.1
#160
36.2
#94
23.8
#91
21.0
#108
8.6
#151
16.5
#99
Cost, coverage & limits
Benchmark wins
1 of 4
3 of 4
Input price
$1.50 / M
$0.20 / M
Output price
$7.50 / M
$1.00 / M
Context window
256,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Medium 3.5
Nemotron 3.5 Super VL (120B A12B)
18.9#184
28.1#101
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Mistral Medium 3.5 · 19 for Nemotron 3.5 Super VL (120B A12B)

4 shared

Mistral Medium 3.5 outperforms in 1 benchmarks (SWE-Bench Verified), while Nemotron 3.5 Super VL (120B A12B) is better at 3 benchmarks (BrowseComp, IFBench, Tau3 Banking).

Nemotron 3.5 Super VL (120B A12B) shows notably better performance in the majority of benchmarks.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Nemotron 3.5 Super VL (120B A12B) costs less

For input processing, Mistral Medium 3.5 ($1.50/1M tokens) is 7.5x more expensive than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, Mistral Medium 3.5 ($7.50/1M tokens) is 7.5x more expensive than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).

In conclusion, Mistral Medium 3.5 is more expensive than Nemotron 3.5 Super VL (120B A12B).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Oct 20 2026 • llm-stats.com
Mistral AI
Mistral Medium 3.5
Input tokens$1.50
Output tokens$7.50
Best providerMistral
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input tokens$0.20
Output tokens$1.00
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

8.0B diff

Mistral Medium 3.5 has 8.0B more parameters than Nemotron 3.5 Super VL (120B A12B), making it 6.7% larger.

Mistral AI
Mistral Medium 3.5
128.0Bparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
128.0B
Mistral Medium 3.5
120.0B
Nemotron 3.5 Super VL (120B A12B)

Context Window

Maximum input and output token capacity

Nemotron 3.5 Super VL (120B A12B) accepts 262,144 input tokens compared to Mistral Medium 3.5's 256,000 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while Mistral Medium 3.5 is limited to 256,000 tokens.

Mistral AI
Mistral Medium 3.5
Input256,000 tokens
Output256,000 tokens
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Medium 3.5 and Nemotron 3.5 Super VL (120B A12B) support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Mistral Medium 3.5

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Medium 3.5 is licensed under Modified MIT License, while Nemotron 3.5 Super VL (120B A12B) uses OpenMDW License v1.1.

License differences may affect how you can use these models in commercial or open-source projects.

Mistral Medium 3.5

Modified MIT License

Open weights

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Mistral Medium 3.5 was released on 2026-04-29, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 6 months newer than Mistral Medium 3.5.

Mistral Medium 3.5

Apr 29, 2026

5 months ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

4 days ago

5mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Mistral Medium 3.5 is available from Mistral AI. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

Mistral Medium 3.5

mistral logo
Mistral
Input Price:Input: $1.50/1MOutput Price:Output: $7.50/1M

Nemotron 3.5 Super VL (120B A12B)

deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Medium 3.5 and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

Mistral Medium 3.5
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about Mistral Medium 3.5 vs Nemotron 3.5 Super VL (120B A12B).

Which is better, Mistral Medium 3.5 or Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 26.6. Mistral Medium 3.5 is made by Mistral AI and Nemotron 3.5 Super VL (120B A12B) is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Mistral Medium 3.5 compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

Mistral Medium 3.5 scores COLLIE: 95.8%, Tau3 Telecom: 91.4%, AIME 2025: 86.3%, SWE-Bench Verified: 77.6%, Tau3 Retail: 76.1%. Nemotron 3.5 Super VL (120B A12B) scores GPQA: 89.5%, LiveCodeBench v6: 88.2%, CharXiv-R: 80.8%, MathVision: 78.2%, BrowseComp: 78.0%.

Is Mistral Medium 3.5 cheaper than Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) is 7.5x cheaper for input tokens. Mistral Medium 3.5 costs $1.50/M input and $7.50/M output via mistral. Nemotron 3.5 Super VL (120B A12B) costs $0.20/M input and $1.00/M output via deepinfra.

What are the context window sizes for Mistral Medium 3.5 and Nemotron 3.5 Super VL (120B A12B)?

Mistral Medium 3.5 supports 256K tokens and Nemotron 3.5 Super VL (120B A12B) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Medium 3.5 and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (26.6 vs 35.0), context window (256K vs 262K), input pricing ($1.50 vs $0.20/M), licensing (Modified MIT License vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Medium 3.5 and Nemotron 3.5 Super VL (120B A12B)?

Mistral Medium 3.5 is developed by Mistral AI and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.